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Small sample properties or robust analyses of linear models based on R-estimates : a survey
McKean, Joseph W.; Sheather, Simon J. - 1989
Persistent link: https://www.econbiz.de/10000842599
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Small sample bias in synthetic cohort models of labor supply
Devereux, Paul J. (contributor) - 2006
Persistent link: https://www.econbiz.de/10003334804
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A note on the asymptotic variance of sample roots
Halliday, Timothy - 2012
Persistent link: https://www.econbiz.de/10009574725
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Reweighting the OHS and GHS to improve data quality : representativeness, household counts, and small households
Thornton, Amy; Wittenberg, Martin - 2021
Persistent link: https://www.econbiz.de/10012661401
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Comparison of sampling schemes
Carter, Chris K. - 1993
Persistent link: https://www.econbiz.de/10000878115
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Improved errors-in-variables estimators for grouped data
Devereux, Paul J. (contributor) - 2006
Persistent link: https://www.econbiz.de/10003281375
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Forecasting based on common trends in mixed frequency samples
Fulekey, Peter; Bonham, Carl Stanley - 2011
Persistent link: https://www.econbiz.de/10009377480
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Forecasting with mixed frequency samples : the case of common trends
Fuleky, Peter; Bonham, Carl Stanley - 2013
Persistent link: https://www.econbiz.de/10009734218
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Bootstrapping sample quantiles of discrete data
Jentsch, Carsten; Leucht, Anne - 2014
Sample quantiles are consistent estimators for the true quantile and satisfy central limit theorems (CLTs) if the underlying distribution is continuous. If the distribution is discrete, the situation is much more delicate. In this case, sample quantiles are known to be not even consistent in...
Persistent link: https://www.econbiz.de/10011490510
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How serious is the measurement-error problem in risk-aversion tasks?
Perez, Fabien; Hollard, Guillaume; Vranceanu, Radu P. - 2021
Persistent link: https://www.econbiz.de/10012618117